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Determination of acetate and formate in vegetable oils by ion chromatography after multivariate optimization of the extraction process using a Doehlert design

dc.creatorFernández Campos, Adriana
dc.creatorCassella, Ricardo J.
dc.date.accessioned2023-07-20T15:48:23Z
dc.date.available2023-07-20T15:48:23Z
dc.date.issued2018
dc.description.abstractIn this work, we present the development of a method for the determination of acetate and formate in vegetable oils by ion chromatography with conductometric detection following their extraction from samples using a diluted KOH solution. The extraction procedure was optimized using a multivariate approach. The application of a 24 full factorial design showed that the mass of sample, extraction time, and KOH concentration presented significant influence on the extraction of both acetate and formate, whereas the temperature presented little influence on the process. As a result, we set the extraction temperature at 22 °C and performed the multivariate optimization of the other variables using a Doehlert design. The optimum conditions were: 4.8 g of sample, 8 mmol L−1 KOH solution and 19 min extraction time. Six samples of vegetable oils (soybean, corn, canola, sunflower and olive) were analyzed and recovery tests provided recovery percentages in the range of 82–118%.es_ES
dc.description.procedenceUCR::Vicerrectoría de Docencia::Ciencias Básicas::Facultad de Ciencias::Escuela de Químicaes_ES
dc.identifier.doi10.1016/j.foodchem.2018.06.136
dc.identifier.issn0308-8146
dc.identifier.urihttps://hdl.handle.net/10669/89679
dc.language.isoenges_ES
dc.rightsacceso abierto
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceFood Chemistry, vol.269, pp.252-257es_ES
dc.subjectVEGETABLE OILSes_ES
dc.subjectEXTRACTIONes_ES
dc.subjectOPTIMIZATIONes_ES
dc.subjectIONIZATIONes_ES
dc.titleDetermination of acetate and formate in vegetable oils by ion chromatography after multivariate optimization of the extraction process using a Doehlert designes_ES
dc.typeartículo originales_ES

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